AI Infrastructure Intelligence for GPU Procurement Teams
Silicon Analysts provides GPU cluster TCO calculators, build-vs-rent breakeven analysis, cloud GPU pricing comparison, and real-time allocation data for teams procuring AI compute infrastructure at scale.
Know exactly what your GPU infrastructure costs \u2014 before you sign the PO
Chip-level BOM, rack-level TCO, cloud-vs-own breakeven, and real-time allocation data. For teams buying $1M+ in AI compute.
You're comparing NVIDIA quotes against cloud pricing in a spreadsheet. We model it end-to-end: chip cost → rack cost → 3-year TCO → build-vs-rent breakeven.
Your procurement toolkit
Cluster TCO Calculator
NEWModel total cost of ownership from 8 GPUs to 16,384. Hardware, networking, power, cooling, staff — all in one model.
Build vs. Rent Calculator
NEWAt what utilization does owning GPUs beat renting cloud instances? Compare on-prem vs AWS/Azure/GCP with your actual workload.
Cloud GPU Pricing Tracker
NEWReal-time GPU instance pricing across AWS, Azure, GCP, CoreWeave, and Lambda. On-demand, reserved, and spot rates.
Allocation Dashboard
B200 lead time: 3–6 months. CoWoS packaging: 50+ weeks. See which chips you can actually get, and when.
Your negotiation leverage
B200 costs $6,400 to manufacture. NVIDIA sells it for $40,000. That's 84% gross margin \u2014 and your negotiation leverage.
See the full cost breakdown →Common use cases
Less than one GPU-hour on AWS per month
Full infrastructure intelligence for the cost of renting a single GPU for an hour.
| Provider | Annual Price |
|---|---|
| SemiAnalysis (Individual) | ~$500/yr |
| Silicon Analysts Pro← | $149/mo ($1,788/yr) |
| TrendForce Gold | $3,000–$8,000/yr |
| Omdia Subscription | $25,000–$100,000+/yr |
Frequently Asked Questions
- How much does an H100 GPU cluster cost?
- A DGX H100 system (8 GPUs) costs $200K–$500K depending on configuration and vendor. A 256-GPU SuperPOD costs $7–10M. Total 3-year TCO including power, cooling, networking, datacenter space, and operations typically adds 50–70% on top of hardware cost. Our Cluster TCO Calculator models all of these components.
- When does owning GPUs beat renting cloud instances?
- Industry consensus places the break-even at approximately 50–60% GPU utilization. Below 50%, cloud is cheaper due to flexibility and no upfront capex. Above 60%, owning wins. However, the downside risk of low utilization is much larger than the upside — at 10 points below threshold, unit cost jumps to 4x cloud pricing.
- What is the cheapest cloud GPU option for H100?
- GCP spot instances offer H100 at approximately $2.25/GPU/hour (60–91% discount from on-demand). AWS Capacity Blocks price at ~$3.93/GPU/hour. RunPod offers $1.99–$2.69/GPU/hour. Lambda at $3.99/GPU/hour. Prices vary significantly by region, commitment length, and availability.
- What is the B200 GPU lead time in 2026?
- B200 HGX systems have 3–6 month lead times as of Q1 2026, as NVIDIA prioritizes GB200 NVL72 production. GB200 NVL72 racks are sold out through mid-2026 with 6–18 month wait times and require liquid cooling. H100 and MI300X are immediately available with no constraints.